Author Archives:
The Adams administration quietly hired its first AI czar. Who is he? – City & State New York
New York City has quietly filled the role of director of artificial intelligence and machine learning, City & State has learned. In mid-January, Jiahao Chen, a former director of AI research at JPMorgan Chase and the founder of independent consulting company Responsible AI LLC, took on the role, which has been described by the citys Office of Technology and Innovation as spearheading the citys comprehensive AI strategy. Despite Mayor Eric Adams administration publicizing the position last January, Chens hiring nearly a year later came without any fanfare or even an announcement
Inuvo Puts the Power of its AI in the Hands of Agencies and Brands – AiThority
Rolls out new AI-as-a-Service Solution Inuvo, Inc., a leading provider of advertising technology, powered by artificial intelligence (AI) that serves brands and agencies, announced the self-serve availability of IntentKey models within demand-side platforms (DSPs) for advertisers.
Unlocking Innovation – AWS Blog
Amazon Bedrock is the best place to build and scale generative AI applications with large language models (LLM) and other foundation models (FMs).
Northrop Grumman Partners to Advance Deep Sensing for the US Army | Northrop Grumman – Northrop Grumman Newsroom
The TITAN ground system solution will provide multi-domain integrated data directly to the front lines AZUSA, Calif. March 7, 2024 Northrop Grumman Corporation (NYSE: NOC) is partnering with Palantir USG, Inc. on the newly awarded Tactical Intelligence Targeting Access Node (TITAN) ground system for the U.S
Inside AI: Talking to the Data – Inside Unmanned Systems
At opposite ends of Illinois, two leaders in emerging construction technologies are collaborating to demonstrate how AI, ML (machine learning) and CV (computer vision) can validate constructions digital-data mandate: Save time, save money, save lives. For the fourteenth consecutive year, U.S. construction valuation has grown and is now at $1.98 trillion, noted Mani Golparvar, professor of civil engineering, computer science and technology entrepreneurship at the Grainger College of Engineering/University of Illinois
Statisticians and physicists team up to bring a machine learning approach to mining of nuclear data – EurekAlert
Article Highlight | 8-Mar-2024 Bayesian statistical methods help improve the predictability of complex computational models in experimentally unknown research DOE/US Department of Energy image: Schematic illustration of the density of the Dirichlet distribution for true model mixing. Credit: Image courtesy of V. Kejzlar Physicists use theoretical models to study physical quantities, such as the mass ofnuclei, where they do not have experimental data.
Building trust in deep learning-based immune response predictors with interpretable explanations | Communications … – Nature.com
MHC-Bench The MHC-Bench dataset consists of 2,232,937 peptides of length 9 and 115 MHC alleles. All the MHC alleles in this dataset are human MHC molecules (i.e.
Development of machine learning-based predictors for early diagnosis of hepatocellular carcinoma | Scientific Reports – Nature.com
Derivation of HCC predictors The whole procedure of analysis was designed as follows in Fig.1. In present study, we used two feature selection methods and eight classification algorithms mentioned above to build sixteen predictors for HCC diagnosis by using gene expression profiles of 988 HCC and 332 CwoHCC accessed from the GEO database.
Advancing Chemistry with AI: New Model for Simulating Diverse Organic Reactions – Lab Manager Magazine
Key Takeaways: Researchers from Carnegie Mellon University and Los Alamos National Laboratory have used machine learning to create a model that can simulate reactive processes in a diverse set of organic materials and conditions. Subscribe to our free Lab Manager Monitor newsletter